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Snowflake SnowPro Core SnowPro Core Dumps in PDF

Free Snowflake SnowPro Core Real Questions (page: 15)

SnowPro Core PDF — 1300 Questions

Which formats are supported for unloading data from Snowflake? (Choose two.)

  1. Delimited (CSV, TSV, etc.)
  2. Avro
  3. JSON
  4. ORC

Answer(s): A,C


Reference:

https://docs.snowflake.com/en/user-guide/data-unload-prepare.html



True or False: Data Providers can share data with only the Data Consumer.

  1. True
  2. False

Answer(s): B



The fail-safe retention period is how many days?

  1. 1 day
  2. 7 days
  3. 45 days
  4. 90 days

Answer(s): B


Reference:

https://docs.snowflake.com/en/user-guide/data-failsafe.html



True or False: Once created, a micro-partition will never be changed.

  1. True
  2. False

Answer(s): A


Reference:

https://interworks.com/blog/kbridges/2019/03/12/time-travel-with-snowflake/



What services does Snowflake automatically provide for customers that they may have been responsible for with their on-premise system? (Choose all that apply.)

  1. Installing and configuring hardware
  2. Patching software
  3. Physical security
  4. Maintaining metadata and statistics

Answer(s): A,B,D



Which of the following statements would be used to export/unload data from Snowflake?

  1. COPY INTO @stage
  2. EXPORT TO @stage
  3. INSERT INTO @stage
  4. EXPORT_TO_STAGE(stage => @stage, select => 'select * from t1');

Answer(s): A


Reference:

https://docs.snowflake.com/en/user-guide/data-unload-considerations.html



True or False: A 4X-Large Warehouse may, at times, take longer to provision than a X-Small Warehouse.

  1. True
  2. False

Answer(s): A



How would you determine the size of the virtual warehouse used for a task?

  1. Root task may be executed concurrently (i.e. multiple instances), it is recommended to leave some margins in the execution window to avoid missing instances of execution
  2. Querying (SELECT) the size of the stream content would help determine the warehouse size. For example, if querying large stream content, use a larger warehouse size
  3. If using the stored procedure to execute multiple SQL statements, it's best to test run the stored procedure separately to size the compute resource first
  4. Since task infrastructure is based on running the task body on schedule, it's recommended to configure the virtual warehouse for automatic concurrency handling using Multi-cluster warehouse (MCW) to match the task schedule

Answer(s): C



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A
AI Tutor Explanation
9/24/2026 11:16:10 AM

Question 5:
Correct answer: A — True
Snowflake supports bulk unloading with COPY INTO <location> using a SELECT statement as the source. This allows you to export either:

  • All or selected columns from a table
  • Filtered rows using WHERE
  • Transformed or joined data

Example: 
sql 
COPY INTO @my_stage/export/ 
FROM ( 
  SELECT customer_id, order_date 
  FROM orders 
  WHERE order_date >= '2025-01-01' 
);
Snowflake writes the query results to files in the specified internal or external stage. The key distinction is that COPY INTO is used for bulk movement of data, while a regular SELECT only returns query results and does not unload them to staged files.

Pune, India
A
AI Tutor Explanation
9/3/2026 5:25:59 AM

Question 1:
Correct answer: B — Clustering keys
Snowflake automatically organizes table data into micro-partitions and uses natural clustering based on how data is loaded. However, for large tables where query performance depends on particular columns, you can define a clustering key.
A clustering key:

  • Specifies one or more columns or expressions Snowflake should use when organizing table data.
  • Helps Snowflake’s automatic reclustering keep related rows grouped together.
  • Can improve pruning for queries that frequently filter or join on those columns.

Why the others are incorrect:
  • Micro-partitions: Snowflake’s storage units; users do not directly define them as an override mechanism.
  • Key partitions: Not a Snowflake feature.
  • Clustered partitions: Not the name of the customer-defined mechanism.

The answer key’s B is correct.

Johannesburg, South Africa
A
AI Tutor Explanation
8/28/2026 11:39:56 AM

Question 17:
Correct answer: D — To accommodate a more complex workload.
Increasing a Virtual Warehouse from X-Small to Medium is vertical scaling. The larger warehouse provides more compute resources, which can improve performance for:

  • Complex queries
  • Large scans or joins
  • Resource-intensive transformations
  • Queries involving substantial processing

Why the others are less appropriate:
  • More users / more queries: This usually calls for multi-cluster warehouses, which add clusters to handle concurrency.
  • Fluctuations in workload: This is typically addressed with auto-suspend/auto-resume or multi-cluster scaling, rather than simply choosing a larger warehouse.

Thus, warehouse size primarily affects the compute power available to individual workloads.

Chennai, India
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